Defending deep learning-based raw malware detectors against adversarial attacks : a sequence modeling approach
Reza Ebrahimi, James Lee Hu, Ning Zhang, Jay F. Nunamaker Jr., and Hsinchun Chen
| Year of publication: |
2025
|
|---|---|
| Authors: | Ebrahimi, Reza ; Hu, James Lee ; Zhang, Ning ; Nunamaker, Jay F. ; Chen, Hsinchun |
| Published in: |
Journal of management information systems : JMIS. - Abingdon, Oxon : Routledge, Taylor & Francis, ISSN 1557-928X, ZDB-ID 2033010-8. - Vol. 42.2025, 4, p. 1118-1148
|
| Subject: | adversarial malware | adversarial malware attacks | cyber defense | cybercrime prevention | cybersecurity | Independent Recurrent Neural Nets (IRNNs) | IT infrastructure | sequence models | IT-Kriminalität | IT crime | Datensicherheit | Data security | Spieltheorie | Game theory | Neuronale Netze | Neural networks |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/07421222.2025.2561384 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015534017